Strategies and Principles of Distributed Machine Learning on Big Data

Photo by Alex Knight on Pexels.com Introduction Machine learning (ML) has become a primary mechanism for distilling structured information and knowledge from raw data, turning them into automatic predictions and actionable hypotheses for diverse applications, such as: analyzing social networks [1]; reasoning about customer behaviors [2]; interpreting texts, images, and videos [3]; identifying disease and … Continue reading Strategies and Principles of Distributed Machine Learning on Big Data